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Overview of Control Technologies for Grid-Forming Wind Turbines WANG Yuwei, WEI Juan, HUANG Sheng, CHEN Daojun, QIU Fengliang Hunan Electric Power    2025, 45 (2): 3-12.   DOI: 10.3969/j.issn.1008-0198.2025.02.001 Abstract （930）      PDF（pc） （9458KB）（129）       Knowledge map    Save When traditional grid-following turbines are connected to the power grid on a large scale, issues such as a decline in the short-circuit ratio of the grid, weakened synchronization support capability, and reduced system inertia may arise. Grid-forming wind power generation technologies can mitigate fluctuations in system voltage and frequency, thereby improving the overall safety and stability of power system operation. Firstly, the grid-forming control system frameworks of two typical wind turbines are analyzed: the doubly-fed induction generator (DFIG) and the permanent magnet synchronous generator (PMSG). Based on the most common control strategies, including droop control, virtual synchronous control, and model predictive control, the advantages and disadvantages of these two frameworks are discussed in terms of inertia support capability, overload capacity, and stability. Subsequently, from the perspective of performance improvement, the frequency regulation, voltage control, and robustness of the two models are compared and analyzed. Furthermore, the research progress in control performance enhancement technologies for grid-forming wind turbines are summarized and the future research directions and the key technical challenges that need to be addressed are explored, aiming to provide insights and references for the advancement of grid-forming technologies. Reference | Related Articles | Metrics

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Performance Study and Optimization Design of Manifold Microchannel Heat Sink With Rectangular Ribs LiU Yiwen, CUi Pan, LiU Wei, LiU Zhichun, CUi Haichuan Hunan Electric Power    2025, 45 (3): 1-8.   DOI: 10.3969/j.issn.1008-0198.2025.03.001 Abstract （202）      PDF（pc） （10145KB）（86）       Knowledge map    Save To enhance the comprehensive performance of the manifold microchannel heat sink (MMCHS), a new manifold microchannel heat sink with rectangular ribs (MMCHS-RR) is proposed. Firstly, the three-dimensional numerical simulations are employed to investigate the effects of the arrangement of rectangular ribs, microchannel width, microchannel height, and the ratio of rectangular rib width to microchannel width on the thermal-hydraulic performance. Then the artificial neural network and a multi-objective genetic algorithm are used to optimize the structural parameters. Finally, the TOPSIS decision-making algorithm is applied to select the parameter combination with the best comprehensive performance from the Pareto front. After optimization, compared with the initial heat sink, the maximum temperature on the heated surface is reduced by 6.4 K, the average heat transfer coefficient is increased by 46.3%, and the total pressure drop is reduced by 1.85 kPa at an inlet flow rate of 6 m/s. The research results indicate that the heat sink with rectangular ribs arranged to bypass the jet holes of the inlet manifold and the outflow holes of the outlet manifold exhibits superior comprehensive performance. Reference | Related Articles | Metrics

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Review of Research Advances in Fire Prevention Technology for High Voltage Cable DUAN Xiaoli, SUN Ding, LIU Sanwei, YU Ting, FAN Xiangyu, DUAN Jianjia Hunan Electric Power    2025, 45 (4): 1-9.   DOI: 10.3969/j.issn.1008-0198.2025.04.001 Abstract （185）      PDF（pc） （1180KB）（50）       Knowledge map    Save The paper reviews the latest research progress in fire prevention technologies for high-voltage cables, discusses the technologies and methods in fire-resistant materials, fire safety of cable accessories, external fire protection, and fire safety design, and looks forward to the future development directions of fire safety technologies for high-voltage cables, providing references for research and practice in the field of cable fire safety. Reference | Related Articles | Metrics

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Optimal Dispatch of Collaborative Peak Adjustment Between Pumped Storage Power Station and Downstream Hydropower Station WANG Hui, WANG Zhengwei, CHEN Heng, FAN Lanxin, DONG Changqing, LEi Jing Hunan Electric Power    2025, 45 (3): 27-34.   DOI: 10.3969/j.issn.1008-0198.2025.03.004 Abstract （94）      PDF（pc） （6342KB）（45）       Knowledge map    Save Aiming at the problems of the difficulty to fulfill the power generation task due to low water levels and insufficient water volume in dry water season, and unstable power generation due to high water levels, excessive water volume and excessive water abandonment in abundant water season, a model of a hydroelectric complementary power generation system with joint operation of a hydropower station and pumped storage power station is established, and the original model is transformed into a mixed-integer linear programming model using the stage linear fitting technique. The particle swarm optimization algorithm is used to calculate the downstream hydropower station's peak adjustment and valley filling mechanism by installing a pumped storage power station with an independent reservoir that can store water upstream. The optimal scheduling scheme in the operation cycle is obtained, which significantly improves the stability of hydropower station power generation and solves the problems of excessive water abandonment, unstable power generation, and lower power generation quality of hydropower stations. Reference | Related Articles | Metrics

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Dual-Dimensional Improved VSG Control Strategy for Multiphase Wind Power System Based on MMC ZHANG Wei, LI Jianying, ZHONG Ding’ai, ZHANG Mai, CHENG Zhun Hunan Electric Power    2025, 45 (4): 39-48.   DOI: 10.3969/j.issn.1008-0198.2025.04.007 Abstract （140）      PDF（pc） （2718KB）（36）       Knowledge map    Save Focusing on the multiphase wind power generation system based on modular multilevel converter (MMC), this paper studies the insufficient frequency regulation ability and power oscillation caused by the lack of moment of inertia of traditional MMC, and proposes a dual-dimensional improved VSG control strategy. The frequency output characteristics are optimized through the real-time compensation mechanism of active power deviation. A parameter dynamic adjustment strategy based on the operating conditions is designed to realize the adaptive matching of active power-frequency control parameters, which effectively suppresses power oscillation and frequency fluctuation in the transient process. A simulation model is built based on MATLAB/Simulink platform. The simulation results show that the proposed strategy has better effect in terms of dynamic response speed and frequency stability compared with the traditional control method. Reference | Related Articles | Metrics

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Improved Decision Tree Prediction Method for Electric Vehicle Charging Pile Failure Considering Typhoon Impact ZENG Weijie, CUI Zezheng, YIN Huaping, SHEN Liman, LIU Mouhai, ZHENG Wenlin Hunan Electric Power    2025, 45 (4): 10-14.   DOI: 10.3969/j.issn.1008-0198.2025.04.002 Abstract （114）      PDF（pc） （1163KB）（33）       Knowledge map    Save In order to improve the operational reliability of electric vehicle charging piles under typhoon weather, an improved charging pile fault prediction method integrating typhoon influence factors is proposed. First, the charging pile data is preprocessed. Secondly, in view of the insufficient prediction performance of the traditional C4.5 decision tree algorithm under the feature coupling effect, meteorological attributes are introduced and the feature selection strategy is optimized based on the information gain ratio to reduce the interference of inter-attribute correlation on classification accuracy. Finally, the analysis of the example results shows that the accuracy of this algorithm is improved by 21% compared with the traditional algorithm, which verifies the optimization effect of the introduction of typhoon influence factors on the performance of the prediction model. Reference | Related Articles | Metrics

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Fault Cause Analysis and Hidden Danger Management of Main Circulating Pump for Valve Cooling System in a Flexible DC Converter Station ZHAO Zhanming, GAO Hongda, TENG Mengfeng, ZHANG Qingyuan, LiU Yang Hunan Electric Power    2025, 45 (3): 89-94.   DOI: 10.3969/j.issn.1008-0198.2025.03.013 Abstract （146）      PDF（pc） （9628KB）（28）       Knowledge map    Save Taking the failure of the main circulating pump in the valve cooling system of a ±500 kV converter station as an example, this paper introduces the failure handling measures, analyzes the failure causes, and concludes that the use of unqualified spring washers for the main circulating pump leads to the failure of the pump shaft fastening connection pair (loosening of the lock nut). Meanwhile, potential hazard inspections are carried out on other in-service main circulating pumps in this station, providing references for the safe operation of main circulating pumps in other in-service converter stations and the selection of main circulating pumps for newly-built converter stations. Reference | Related Articles | Metrics

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Optimal Scheduling Method of Active Distribution Network Considering Source-Load Bilateral Uncertain Boundary XIA Tianyu, NIU Huan, WEN Yujie, AI Zishuo, RUI Shuling Hunan Electric Power    2025, 45 (4): 56-63.   DOI: 10.3969/j.issn.1008-0198.2025.04.009 Abstract （119）      PDF（pc） （3107KB）（27）       Knowledge map    Save In order to realize the safe and economic operation of active distribution networks, an optimal scheduling method considering the uncertainty boundaries of both source and load sides is proposed. Firstly, the uncertainty of renewable energy output and the system standby constraint boundary relationship are established on the power side, while consumer psychology models and the concept of normal cloud on the load side are used to uniformly describe the demand side response and response boundary uncertainty. Then, an active distribution network scheduling model incorporating wind power, photovoltaic power generation, battery energy storage, and flexible loads is constructed to achieve coordinated optimization of source-grid-load-storage. Finally, the case analysis verifies that the proposed optimization method can effectively reduce scheduling costs, improve the capacity of renewable energy consumption, alleviate the pressure on higher level scheduling, and enhance the safety and economy of distribution network operation. Reference | Related Articles | Metrics

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The V2G Collaborative Optimization Strategy Driven by Electricity Prices Response Under the High Proportion of New Energy Penetration XIANG Lifeng, ZHANG Hongwei, ZHANG Xiaodong, CHEN Jie Hunan Electric Power    2025, 45 (6): 1-8.   DOI: 10.3969/j.issn.1008-0198.2025.06.001 Abstract （45）      PDF（pc） （6944KB）（26）       Knowledge map    Save Aiming at the uncertainty of the time distribution of charging demand in vehicle-to-grid (V2G) scheduling and the uncertainty of output under the penetration of high proportion of new energy, which makes it difficult to balance the load of the grid, a V2G collaborative optimization strategy driven by electricity price response under a high proportion of new energy access is proposed. Firstly, a V2G collaborative optimization model driven by electricity price response for high proportion new energy access scenarios is constructed, which guides the charging and discharging behavior of V2G charging piles and electric vehicles by regulating electricity prices, and is optimized with multiple goals to minimize the total cost of the power grid, minimize the peak-to-valley difference of grid load, and maximize user benefits. Secondly, the non-dominated sorting genetic algorithm Ⅲ(NSGA-Ⅲ) algorithm is fused with the Wasserstein generative adversarial network(WGAN) to establish a dynamic adjustment algorithm with non-dominated sorting and crowding distance selection elite solution reward function for solving the model. Case analysis shows that compared with the traditional NSGA-Ⅲ algorithm, the proposed NSGA-Ⅲ WGAN algorithm can effectively reduce the operating cost of the power grid, improve the new energy consumption capacity of the power grid, stabilize the peak-to-valley difference of the load of the power grid, and improve the benefits of users through efficient global search and local fine-tuning capabilities. Reference | Related Articles | Metrics

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Capacity Configuration and Operation Optimization of Cascade Hydropower Combined Energy Storage System Considering New Energy Consumption TiAN Haiping, MO Jian, TAN Xincong, XU Runyi, CHEN Yanqi, ZHANG Ji, HUANG Sheng Hunan Electric Power    2025, 45 (3): 18-26.   DOI: 10.3969/j.issn.1008-0198.2025.03.003 Abstract （388）      PDF（pc） （7466KB）（23）       Knowledge map    Save With the increasing proportion of renewable energy in the power system, the introduction of pumped storage and electrochemical energy storage in the cascade hydropower station can effectively improve the wind and solar energy consumption. A combined wind power-photovoltaic-terrace hybrid pumped storage-electrochemical energy storage system is constructed. Firstly, the economic optimization is taken as the goal to make the optimal capacity configuration of the grid-connected combined system and the operation of each equipment is analyzed. Secondly, the impact of different wind and solar proportions on the optimal capacity configuration of the system is analyzed. Finally, the change of optimal capacity configuration of the off-grid combined system with different wind and solar proportions compared with the grid-connected combined system is analyzed. The results show that, as the proportion of wind and solar power increases, wind and solar power gradually takes up the main load demand, while the turbine capacity of the cascade hybrid pumped storage plant decreases, and the capacity of the electrochemical energy storage increases rapidly to meet the system demand for energy storage equipment. Compared to off-grid systems, grid-connected combined systems are more flexible with both power supply independence. Reference | Related Articles | Metrics

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Research on Distribution Network Topology Reconfiguration Method Considering New Energy Consumption and Voltage Deviation WANG Xuanyuan, Li Qi, WANG Zesen, LiU Jiantao, SUN Zhibo Hunan Electric Power    2025, 45 (3): 9-17.   DOI: 10.3969/j.issn.1008-0198.2025.03.002 Abstract （117）      PDF（pc） （7760KB）（20）       Knowledge map    Save Aiming at the impact of new energy consumption on distribution operation, a distribution network topology reconfiguration method considering both new energy consumption and voltage deviation is proposed to realize the balance and coordination between the two. Firstly, a scenario reduction technique based on scenario similarity is used to obtain representative new energy power samples. Then, a multi-objective stochastic optimization reconfiguration mathematical model is established to optimize the amount of new energy consumption and the voltage deviation at distribution network nodes. Subsequently, a multi-objective particle swarm algorithm guided by a proximal strategy optimization algorithm is employed to efficiently search for the corresponding Pareto solution set. Finally, the technique for order of preference by similarity to ideal solution decision method is applied to balance the trade-off between wind power consumption and voltage deviation and select the final reconfiguration scheme. The improved IEEE-33 node distribution network is used as the test object, and the experimental results verify the effectiveness of the proposed method. Reference | Related Articles | Metrics

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Status and Responses of Coal-Fired Power Low-Carbon Transformation Path Under “Dual Carbon” Goal in China HUANG Xiuxing, LI Qiaoyun, WEI Wenye, YANG Mei, HUANG Rubin, LI Hui Hunan Electric Power    2025, 45 (4): 49-55.   DOI: 10.3969/j.issn.1008-0198.2025.04.008 Abstract （295）      PDF（pc） （1919KB）（19）       Knowledge map    Save Biomass co-firing, green ammonia co-firing, and carbon capture, utilization, and storage (CCUS) have been identified as the three key pathways for the low-carbon transformation of coal-fired power. However, the practical promotion and application of these technologies is facing multiple constraints. For instance, biomass co-firing is limited by the volatility of raw material supply and the lack of boiler adaptability, green ammonia co-firing is economically unfeasible due to the high cost of green ammonia production, and CCUS is hindered by energy consumption and the lack of a CO2 utilization market. To address these difficulties, this paper proposes optimization countermeasures for the low-carbon transformation of coal-fired power from three dimensions: technological innovation, economic optimization, and policy synergy. It aims to synergistically promote the application of biomass co-firing, green ammonia co-firing and CCUS, facilitating the low-carbon transformation of coal-fired power. Reference | Related Articles | Metrics

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Risk Assessment of Urban Power Distribution Equipment Under Rain and Flood Hazards WU Changjiang, LI Zhiqiang, LI Bin, YUAN Guoqing, ZHU Jing, SU Sheng Hunan Electric Power    2025, 45 (4): 15-20.   DOI: 10.3969/j.issn.1008-0198.2025.04.003 Abstract （126）      PDF（pc） （3992KB）（18）       Knowledge map    Save Urban power distribution equipment with small power supply radius and insufficient site selection flexibility is prone to flooding and power outage in rain and flood disasters. Taking Zhuzhou city as an example, a risk assessment method for urban power distribution equipment is proposed. First of all, the short-term rainfall of one in many years is calculated by combining the formula of heavy rainfall intensity in the target area, and the inundation range and inundation depth of different recurrence periods are obtained by simulation based on the two-dimensional hydrodynamic model. Then, the risk assessment of the study area is carried out by combining the design standards of ground power distribution equipment, and different areas are classified into risk levels. A map of the inundation risk level of power distribution equipment in Zhuzhou city is drawn to identify the weak areas of the urban power grid. The study can provide a quantitative basis for the development of differentiated protection strategies for the urban power grid system, as well as scientific support for resilience enhancement of power facilities under extreme rainstorm disasters. Reference | Related Articles | Metrics

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Infrared Temperature Measurement Correction Method for Composite Insulators Based on RBF Neural Network Algorithm Li Bocheng, YANG Haoyan, WU Jian, LiU Yancan, LiU Huazhou, CHEN Bin Hunan Electric Power    2025, 45 (3): 135-140.   DOI: 10.3969/j.issn.1008-0198.2025.03.019 Abstract （110）      PDF（pc） （7115KB）（17）       Knowledge map    Save Aiming at the problem of temperature measurement error caused by distance measurement and visual angle change during UAV infrared patrol inspection of composite insulators, this paper proposes a method to improve the accuracy of infrared temperature measurement and ensure the accuracy and reliability of defect identification. Based on the built 110 kV composite insulator infrared temperature rise experimental platform, the system collects infrared image data at different shooting distances and angles, and uses the real temperature measured by the optical fiber temperature sensor as the calibration benchmark to build an infrared temperature measurement error sample set. Based on the data set, the radial basis function (RBF) neural network is used to establish the error correction model of infrared temperature measurement, and realize the nonlinear correction of the original infrared temperature measurement value. The results show that the average temperature difference of infrared thermometer after RBF model correction is reduced to 0.19℃ (the relative error is 2.07%), which is better than linear, nonlinear and exponential regression methods (the average temperature difference is 0.37~0.82℃), and has stronger generalization ability. This method effectively improves the temperature measurement accuracy of UAV infrared patrol inspections, and provides reliable technical support for the condition assessment of insulators. Reference | Related Articles | Metrics

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Energy Regulation Capability Evaluation Method for Hunan′s Small and Medium Sized Hydropower Stations Based on AHP-CRITIC Fuzzy Comprehensive Evaluation WEi Jiafu, LiU Huibo, LiU Haoran, DENG Xiaoliang, WANG Pei Hunan Electric Power    2025, 45 (3): 42-48.   DOI: 10.3969/j.issn.1008-0198.2025.03.006 Abstract （102）      PDF（pc） （4980KB）（16）       Knowledge map    Save The constraints on natural resources of small and medium-sized hydropower stations in Hunan Province are characterized by their widespread distribution and inefficient management. To strengthen the unified supervision and enhance regulatory capabilities, a comprehensive evaluation system for energy regulation capacity is constructed. This system takes the reservoir regulation performance and control capabilities as the core criterion, encompassing 14 specific indicators. By combining subjective weighting via the analytic hierarchy process and objective weighting using the critera importance through intercriteria correlation（CRITIC） method, the degree of affiliation for each indicator is calculated to form a comprehensive score for the energy regulation capacity of hydropower stations. An empirical study is conducted on five hydropower stations located in a prefecture-level city within Hunan Province. The evaluation results reveal that two stations reach excellent ratings and three are deemed qualified, which validates the applicability and effectiveness of the evaluation system and can provide quantitative decision support for the refined management of small and medium-sized hydropower stations in Hunan. Reference | Related Articles | Metrics

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Grid-Connected and Off-Grid Control Strategy for Optical Storage Clusters Based on Phase-Locked-Loop-Free Pre-Synchronisation ZHENG Qiangren, HU Lijuan, Li Baoju, NiU Geng, XUAN Jingyan, WU Ming Hunan Electric Power    2025, 45 (3): 112-121.   DOI: 10.3969/j.issn.1008-0198.2025.03.016 Abstract （111）      PDF（pc） （9162KB）（16）       Knowledge map    Save The control strategy of virtual synchronous generator (VSG) type grid-connected inverter is investigated, and a phase-locked-loop-free pre-synchronous control strategy is proposed, which aims to reduce the impact of grid-connected inverter on the grid, simplify the computation process and maintain the stable operation of the system. Through simulation verification, the strategy can achieve seamless switching between grid-connected and off-grid, has the advantages of simple calculation and fast response speed, and effectively solves the current impact and voltage oscillation problems in the process of grid-connected VSG inverters. Reference | Related Articles | Metrics

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Transmission Line Inspection Monocular Ranging Technology Based on Fused Laplace Residual Image Processing Li Bocheng, YANG Haoyan, LiU Gang, GUO Hao, LiU Lanlan, Li Sai, Xi Yanhui Hunan Electric Power    2025, 45 (3): 122-128.   DOI: 10.3969/j.issn.1008-0198.2025.03.017 Abstract （123）      PDF（pc） （7070KB）（15）       Knowledge map    Save During UAV inspections on ultra-and extra-high-voltage transmission lines, the UAV can approach the lines to capture detailed information. However, too close distance between UAV and transmission lines increases the risk of electromagnetic interference or even collisions. Therefore, it is crucial to accurately obtain the distance between the UAV and the transmission lines. In order to solve this problem, a depth estimation network LapNet(Laplace Net) fused with Laplace residuals is proposed, and U-Net is used as the network infrastructure to construct a multi-scale feature pyramid. A LUB (Laplace U-Block) module is proposed to replace the ordinary convolutional layer of U-Net, and the Laplace pyramid residual structure is introduced into the LUB module to increase the network depth while retaining the high-frequency information in the depth features. This leads to the reconstruction of high-quality depth images for accurate measurement of monocular distances. According to the actual test, the average error of distance detection using UAV monocular lens is 4.786%, and the maximum error is 8.36%, which can realize the accurate measurement of the distance between UAV lens and line. Reference | Related Articles | Metrics

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Control Strategy of Virtual Synchronous Generator Based on Adaptive Segmented Moment of Inertia SUN Chuanyong, SUN Hengyang, HUANG Zipeng, WANG Jikui, SUN Pengcheng Hunan Electric Power    2025, 45 (6): 114-119.   DOI: 10.3969/j.issn.1008-0198.2025.06.015 Abstract （31）      PDF（pc） （5550KB）（14）       Knowledge map    Save To address the contradiction between dynamic response and steady-state performance in traditional fixed moment of inertia strategies of virtual synchronous generators (VSG) and the power oscillation problems, a virtual synchronous generator control strategy based on adaptive segmented moment of inertia is proposed. By analyzing the oscillation mechanism, the inertia adjustment interval are dynamically divided. When power fluctuations are severe, the moment of inertia is reduced to improve control speed. When power fluctuations have a slowing trend, the moment of inertia is increased to improve stability. Through this optimized design, VSG exhibits good parameter robustness in various operating modes, effectively suppressing low-frequency oscillations of active power and improving the accuracy of transient process control. Finally, MATLAB/Simulink simulation verifies the feasibility and correctness of the proposed method. Reference | Related Articles | Metrics

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A Method of Real-Time Insulator Defect Detection Based on Improved YOLOv5s Algorithm YAO Chunmei, XI Yanhui Hunan Electric Power    2025, 45 (4): 119-125.   DOI: 10.3969/j.issn.1008-0198.2025.04.017 Abstract （93）      PDF（pc） （1306KB）（13）       Knowledge map    Save Aiming at the issues of large parameter count and slow inference speed, which is difficult to meet the demand for real-time online electric power inspection, and considering the complex environmental interferences such as the fog or low illumination during actual unmanned aerial vehicle inspection processes, an insulator defect detection method based on improved lightweight YOLOv5s is proposed. This method achieves a balance between model lightweighting and detection accuracy through a triple optimization strategy. Firstly, the YOLOv5s network is deeply optimized by using lightweight modules, which significantly reduces the model complexity. Secondly, the network adopts the bidirectional feature pyramid network structure to enhance the multi-scale feature fusion capability, and combines the SIoU loss function to improve detection accuracy and convergence speed. Finally, the synthetic fog algorithm is employed to effectively enhance the generalization performance of the model in complex environments. Experimental results show that the parameters, floating point operands and size of the proposed model are only 1.74×106、3.5×109 and 3.9 MB, and the mAP@0.5 reaches 92.8%. Reference | Related Articles | Metrics

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Multi-Factor Short-Term Power Load Forecasting Based on Adversarial Training LI Xiaoping, HE Lubing, SHANG Longkang Hunan Electric Power    2025, 45 (4): 143-150.   DOI: 10.3969/j.issn.1008-0198.2025.04.020 Abstract （93）      PDF（pc） （3584KB）（13）       Knowledge map    Save In order to improve the accuracy and stability of power load forecasting, a multi-factor power load forecasting model based on adversarial training is proposed for short-term power load forecasting. This method combines historical load data and the weather and other characteristics of the forecast day to predict the power load and enhances the robustness of the prediction model to adversarial samples through adversarial training. Experimental results on a public dataset show that this method outperforms similar methods that only consider historical load data in terms of prediction accuracy and shows better robustness to adversarial samples. Reference | Related Articles | Metrics

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Transient Stability Analysis of Power Systems Based on Extended Equal Area Criterion and Grid Vulnerabilities Identification WEi Chuanxiang, YANG Lin Hunan Electric Power    2025, 45 (3): 54-61.   DOI: 10.3969/j.issn.1008-0198.2025.03.008 Abstract （116）      PDF（pc） （7330KB）（13）       Knowledge map    Save In order to ensure the safe operation of the power system and accurately assess the transient stability of the power system, a transient stability analysis method integrating vulnerability identification, generator grouping, and the extended equal area criterion (EEAC) is proposed. Firstly, the vulnerabilities in the power system are identified, and the generators are grouped according to the identification results, thereby determining the advanced and lagging generator groups. Then, the EEAC method is used to conduct transient stability analysis and evaluate the impact of different disturbance scenarios on the transient stability of the power system. Through the verification of simulation cases, the results show that the method can effectively judge the transient stability of the power system after being disturbed with high accuracy and reliability and can provide an effective tool for transient stability analysis of power systems. Reference | Related Articles | Metrics

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Influence of Fluorination Treatment on Surface Performance of Liquid Silicone Rubber LI Dong, ZHU Zhien, GAO Kai, ZENG Hao, CHEN Longxiao Hunan Electric Power    2025, 45 (4): 21-26.   DOI: 10.3969/j.issn.1008-0198.2025.04.004 Abstract （92）      PDF（pc） （3023KB）（12）       Knowledge map    Save In order to improve the surface characteristics of high-voltage composite bushings, two commercial liquid silicone rubbers are fluorinated using F2/N2 mixed gas. The electrical properties, physical and chemical properties, and hydrophobicity of the two liquid silicone rubber samples before and after fluorination are tested. The results shows that the DC flashover voltages of the two silicone rubber samples after fluorination have increased by more than 50% and 30% respectively. The two silicone rubber samples present different surface potential decay characteristics after fluorination. The surface conductivity of both is increased by 1~2 orders of magnitude, and the bulk conductivity does not change significantly. The increase in surface conduction caused by fluorination can accelerate the surface potential decay. Through ATR-IR analysis and SEM observation, C—F bonds are formed in the surface layer of the fluorinated samples, and micro-nano structuring appears on the surface of the fluorinated layer. The hydrophobicity test indicats that fluorination significantly has improved the hydrophobicity of the two liquid silicone rubber samples. Therefore, fluorination treatment is an effective means to enhance the surface performance of liquid silicone rubber used in high-voltage composite bushings. Reference | Related Articles | Metrics

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A Hybrid-Driven Method of Knowledge Guidance and Unsupervised Learning for Power Users Anomaly Discrimination LYU Weijia, LI Xiaohui, TENG Yongxing, CHEN Juan, MEN Yingjun, DU Tianshuo Hunan Electric Power    2025, 45 (4): 74-82.   DOI: 10.3969/j.issn.1008-0198.2025.04.011 Abstract （99）      PDF（pc） （1254KB）（12）       Knowledge map    Save In view of the problems of high manual annotation cost and limited data feature representation ability of traditional rule-based detection methods, a hybrid model for anomaly detection of power users that integrates knowledge guidance and unsupervised learning is proposed. First, a multi-dimensional load characteristic index system containing load rate, peak-to-valley difference rate and other features is constructed based on power consumption behavior analysis, and principal component analysis is used to realize feature extraction and visualization of high-dimensional data. Then, the abnormal deviation degree of users' power consumption modes and abnormal probability of spatial distribution are quantified by reconstruction error and local outlier factor algorithm respectively. Secondly, the abnormality degree and suspected probability of users' power consumption behavior are ranked, so that most abnormal users can be found by detecting only a few users with high abnormality degree. Finally, the proposed method is verified by small and large data sets respectively in the case analysis. The results show that the AUC score of this method can reach 0.8251, which has significant superiority. In addition, this method can not only effectively identify abnormal users, but also reduce the false alarm rate and improve the accuracy of detection, providing an efficient and reliable power consumption anomaly analysis tool for power companies. Reference | Related Articles | Metrics

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Power Allocation Strategy of Urban Rail Hybrid Energy Storage System Based on Double-Layer Low-Pass Filter WANG Yi, TANG Yuan, LIU Houlin, WANG Jinyu Hunan Electric Power    2025, 45 (4): 96-103.   DOI: 10.3969/j.issn.1008-0198.2025.04.014 Abstract （96）      PDF（pc） （2222KB）（12）       Knowledge map    Save In order to overcome the problems of power delay and power cycling caused by the traditional low-pass filter (LPF) power allocation strategy in the hybrid energy storage system(HESS) of urban rail transit, a power allocation strategy based on two-layer LPF is proposed for urban rail HESS. The first layer of LPF prevents the traction network from being impacted by removing the extreme components in the power fluctuation. The second layer adopts an improved second-order filter transfer function through LPF to optimize the cutoff characteristics at the handover frequency and eliminate the integral effect of the first-order filter during the high-frequency response. Compared with traditional methods, the double-layer filtering strategy can optimize the power output of energy storage devices, reduce overcharge and overdischarge phenomena, extend battery life, and improve the dynamic response capability of the system. The simulation results show that the proposed strategy can effectively improve the voltage stability, energy-saving rate and response speed of the traction network, while reducing the depth of battery charging and discharging and prolonging the service life of energy storage devices. Reference | Related Articles | Metrics

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Electromagnetic Leakage Defense Method for Smart Grid Terminals Based on Noise Interference LONG Yanbo, QIAO Hong, WANG Kaiyi, XIAO Jian, LIU Shuai Hunan Electric Power    2025, 45 (4): 133-142.   DOI: 10.3969/j.issn.1008-0198.2025.04.019 Abstract （91）      PDF（pc） （3109KB）（12）       Knowledge map    Save For potential electromagnetic leakage vulnerabilities in smart grid terminals, the mechanism and propagation path of electromagnetic leakage in smart grid terminal are systematically analyzed, revealing that the human body as a conductor forms common-mode coupling, which is the main channel for electromagnetic signal leakage. In view of the limitations of traditional defense methods in smart grid terminal scenarios, a defense method based on noise interference is proposed. A device is designed to inject random-frequency (below 100 Hz) and random-amplitude (1~3 V) interference signals into the human body through an electrostatic wristband. Experimental results show that the proposed defense method can effectively reduce information leakage via electromagnetic side channels, enhance the security of sensitive operation process in smart grid terminals (especially in distribution automation applications) and offer a new technical idea for the construction of information security protection systems in new power systems. Reference | Related Articles | Metrics

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Review of Icing Issues and Prevention and Control Technologies for Power Transmission and Transformation Insulators WANG Zhanxin, ZHANG Chuyan, YU Xinzhe, DENG Yu Hunan Electric Power    2025, 45 (6): 33-41.   DOI: 10.3969/j.issn.1008-0198.2025.06.005 Abstract （27）      PDF（pc） （9319KB）（12）       Knowledge map    Save Ice covering on insulators is a major natural disaster that poses a threat to the safe operation of power grids, especially posing a severe challenge to the high-altitude and heavily ice-covered areas that strategic projects such as the West-to-East Power Transmission pass through. For this reason, this article systematically reviews the core research progress in the field of insulator icing. Firstly, it elaborates on the physical mechanism of icing and the coupling influence laws of its interaction with water droplet movement, environmental parameters, and electric fields. Then, the flashover characteristics of icing insulators are analyzed to reveal their nonlinear voltage characteristics and the development process of arcs. Finally, it summarizes and evaluates the applicability and limitations of three types of anti-icing measures, that is, structural optimization, active de-icing, and passive protection. The article points out that current research still lacks in the aspects of microscopic icing physics, multi-physical field coupling models, and insulators adaptability in extreme environments. In the future, efforts should be focused on the construction of intelligent anti-icing technology and the construction of a full-chain risk early warning system to support the reliable operation of future power grids. Reference | Related Articles | Metrics

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Application Analysis of Automatic Detection Technology for Insulation Defects in Distribution Network Cables WANG Tuo, LI Yongpeng Hunan Electric Power    2025, 45 (4): 90-95.   DOI: 10.3969/j.issn.1008-0198.2025.04.013 Abstract （100）      PDF（pc） （2467KB）（11）       Knowledge map    Save In order to achieve automatic detection of insulation defects in distribution network cables, a 10kV single-core cable is taken as the target, and the uneven characteristics of magnetic field and the generation principle of current harmonics in the metal shielding layer are studied in the presence of insulation defects of cables, and the stability of the application of automatic detection technology for cable insulation defects is verified through simulation analysis and experiments. The harmonic data automation analysis technology based on the mean clustering algorithm is used to realize rapid detection and location of cable insulation defects, initially realizing the automated charged insulation detection and providing support for improving the stability and safety of power supply. Reference | Related Articles | Metrics

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GA-PSO Hybrid Optimization Method for Substation Site Selection Under Constraint of Flood Storage and Detention Areas LEI Chuanli, LUO Huiping, TANG Waiwen, HE Liang, LI Jun, LIU Aijun, YIN Dike, LIU Gongjie Hunan Electric Power    2025, 45 (4): 32-38.   DOI: 10.3969/j.issn.1008-0198.2025.04.006 Abstract （92）      PDF（pc） （7559KB）（11）       Knowledge map    Save In the process of site selection and planning for substations in flood storage and detention areas, multi-source substations mainly use combination calculation to achieve site selection optimization, resulting in low efficiency in global search and insufficient economic efficiency. To this end, a GA-PSO hybrid optimization method for substation site selection considering the constraints of flood storage and detention areas is proposed, and relevant design and performance analysis are carried out. By analyzing regional hydrological and meteorological data, low-risk areas for site selection are determined, and the power load intensive range of substations is delineated according to the electricity demand of users in the area. By analyzing the overlap between areas with low hydrological risk and areas with high power load, the computable domain is determined and grid division is carried out. Taking the hydro meteorological conditions of the flood storage and detention area as constraints, multiple candidate sites are marked at the grid division. The GA-PSO algorithm is integrated to calculate the individual fitness of each candidate site, and hybrid optimization filtering operations such as selection, crossover, and variation are carried out according to the fitness to achieve the initial site selection planning objectives. The information and data of the initial planning site are updated, and continuously trained and iterated to screen out the site with the highest comprehensive fitness as the planning goal to complete site selection and optimization. The experimental results show that after applying the proposed method, the construction cost of the planned substation is controlled below 3 million yuan in each cycle, which is highly economical. Reference | Related Articles | Metrics

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Comprehensive Application of UAV and USV Aerial Survey Technology in High Precision River Section Monitoring ZHANG Hongqiang, YANG Wenxuan, ZHANG Yike, YiN Zilong, ZHANG Zhen, LiU Huakang Hunan Electric Power    2025, 45 (3): 49-53.   DOI: 10.3969/j.issn.1008-0198.2025.03.007 Abstract （101）      PDF（pc） （5392KB）（11）       Knowledge map    Save For the small hydropower stations in the Xue River basin of Hunan Province, UAV aerial photogrammetry and USV-based underwater topography survey technology are used to accurately collect river channel topography and construct high-precision terrain models. By overlaying and analyzing digital surface models and digital orthophoto maps, the main cross-sections of the principal river are extracted, the issue of mismatched hydrological data is addressed, and the accuracy of the data through post-processing is ensured, so as to provide more reliable data for river management and environmental protection. Reference | Related Articles | Metrics

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Underwater Detection Technology of Hydraulic Structure With Multi-Equipment Integration ZHANG Yike, ZHANG Jun, MO Jian, ZHANG Xuewu, ZHANG Zhen Hunan Electric Power    2025, 45 (3): 35-41.   DOI: 10.3969/j.issn.1008-0198.2025.03.005 Abstract （130）      PDF（pc） （5601KB）（11）       Knowledge map    Save To solve the problem of low accuracy of defect detection in the complex underwater dams environment, a defect detection method based on multi-sensor data fusion is proposed. By combining the sonar equipment and optical camera, the sonar data is denoised by Kalman filter, and the optical image contrast is enhanced by the contrast limited adaptive histogram equalization(CLAHE) algorithm. At the same time, the weighted least square method is used to achieve the fusion of the two kinds of data, and the comprehensive image containing the global contours and high-definition details is generated. Then, convolutional neural network(CNN) is used to process the fusion image to realize accurate identification and classification of defects such as cracks and sediments. The experimental results show that the method successfully detected 3 cracks and 2 sediment accumulation areas in the test dam, significantly improving the accuracy and reliability of defect detection. Reference | Related Articles | Metrics

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Study on Snow Flash Characteristics Under Horizontal Arrangement of DC Composite Bushing WAN Xiaodong, YAO Tao, LI Jin, JIA Ru, CAI Lin Hunan Electric Power    2025, 45 (4): 27-31.   DOI: 10.3969/j.issn.1008-0198.2025.04.005 Abstract （93）      PDF（pc） （1529KB）（10）       Knowledge map    Save After the DC composite through-wall bushing in the converter station is covered with snow, flashover may occur, causing power outages. This article presents a horizontal arrangement of contaminated composite hollow bushing in a large artificial climate laboratory, and conducts snow-covering flashover tests under direct current voltage. The results show that 50% withstand voltoage (U50) obtained by using a non-charged snow melting pressurization method is about 6.8% lower than U50 obtained by using a charged snow melting pressurization method. The U50 under the DC voltage of the snow-covered bushing decreases with the increase of salt density, but its characteristic index α is lower than the index obtained from the pollution test. When the salt density is 0.1mg/cm2, the U50 gradient under the horizontal arrangement of the snow-covering composite bushing is close to that under weak hydrophobicity of the contaminated bushing. Reference | Related Articles | Metrics

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Research on Galloping Characteristics of Iced Overhead Conductor and Related Early Warning Technology WANG Wei, GUO Chenchen, LIU Zhiming, LI Zhipeng, CHANG Jidong, LI Peiyuan, LI Qiran Hunan Electric Power    2025, 45 (6): 42-49.   DOI: 10.3969/j.issn.1008-0198.2025.06.006 Abstract （32）      PDF（pc） （6251KB）（10）       Knowledge map    Save Aiming at the galloping problem of iced overhead conductors, a three-dimensional dynamic model of iced conductors is established based on the finite element simulation method, and the mechanical and electrical characteristics of conductor galloping under different wind speeds, wind directions, and airflow attack angles are systematically analyzed. The study finds that ice thickness and wind speed are the most sensitive parameters affecting galloping. On this basis, a galloping early warning system integrating 5G communication, sensor monitoring, and intelligent classification algorithms is proposed. The system employs an support vector machine (SVM) model to predict meteorological conditions prone to galloping in the area and combines an AdaBoost classifier to achieve a graded early warning for transmission line galloping risk. This system, with its multi-source perception and intelligent decision-making capabilities, effectively enhances the accuracy in early warning and prevention and control levels of the power grid against galloping disasters. Reference | Related Articles | Metrics

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Experimental Study of a New Ultra-Thin Loop Heat Pipe ZHANG Hanyu, LIU Zhichun Hunan Electric Power    2025, 45 (4): 112-118.   DOI: 10.3969/j.issn.1008-0198.2025.04.016 Abstract （154）      PDF（pc） （5796KB）（9）       Knowledge map    Save The increasing demand for high performance and thinness of mobile electronic devices has put forward higher requirements on the heat dissipation capability and thickness of loop heat pipes (LHPs). In order to meet the thermal management requirements of mobile electronic devices, a new type of ultra-thin flat-plate LHP with a thickness of 0.71 mm is designed and prepared, and the thermal performance of the system is experimentally tested under different thermal loads and air-cooling conditions with a filling rate of 38% and no gravitational inclination. The results show that the maximum heat transfer of the system reaches 16 W, and the system can be stably activated and shows good thermal response characteristics in the range of 4~16 W thermal input. The thermal resistance of the loop increases with the increase of thermal input, and the lowest value is 1.36 ℃/W. The study shows that the designed ultra-thin LHP can meet the heat dissipation demand of the chip with a peak power consumption of 16 W, and it has a significant potential for the application in the field of thermal management of mobile electronic devices. Reference | Related Articles | Metrics

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An Alarm Denoising Method for Network Security in Power Monitoring System Based on Rule-Statistical-Transformer Three-Stage Fusion ZHU Hongyu, CHEN Qian, LI Mingguang, LUO Weiqiang Hunan Electric Power    2025, 45 (4): 126-132.   DOI: 10.3969/j.issn.1008-0198.2025.04.018 Abstract （139）      PDF（pc） （1927KB）（9）       Knowledge map    Save To reduce redundant alarms in the power monitoring system and improve the efficiency and accuracy of alarm analysis, an alarm denoising method based on rule-statistical-transformer three-stage fusion is developed in this study. Efficient and accurate false alarm identification is achieved through a layered filtering mechanism. First, false alarms with known patterns are rapidly screened using the rule matching engine, completing initial data cleaning. Second, duplicate alarms and periodic noise are detected through statistical analysis, accomplishing secondary noise reduction. Subsequently, in-depth semantic analysis of remaining alarms is performed by the transformer model, with complex false alarm patterns being captured via the attention mechanism. Finally, data are collected from a certain provincial company's network security platform for effect verification. The experimental results demonstrates that the proposed method significantly improves detection efficiency while maintaining accuracy. The execution time is reduced by over 15% for large-scale datasets. Reference | Related Articles | Metrics

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Research on Dynamic Knowledge Service System for Power Industry Standards XIE Wei, HUANG Jianye, LIU Yanan, ZHENG Yanrong, ZHANG Xinhua Hunan Electric Power    2025, 45 (6): 120-125.   DOI: 10.3969/j.issn.1008-0198.2025.06.016 Abstract （30）      PDF（pc） （5595KB）（9）       Knowledge map    Save To address the critical challenges in power standard management including poor real-time information, weak knowledge correlation, and prominent service passivity, a dynamic knowledge service system based on the collaborative drive of distributed monitoring, natural language processing, and knowledge graph is proposed. The system relies on a distributed monitoring engine to achieve second-level data collection from multiple source heterogeneous sources, reducing the standard update detection delay from 120 hours (with manual inspection) to 5.8 hours. Through dynamic knowledge graph construction technology driven by deep learning, the system breaks through the semantic limitations of traditional keyword search, increasing the knowledge association recall rate to 96.2%. It also pioneers a proactive early warning mechanism empowered by graph reasoning, promoting the service model to shift from passive response to on-demand push. After a high-concurrency pressure test of 1 752 requests per second, the system's 95% request response time remains stably below 300 ms, achieving coordinated optimization in terms of timeliness, completeness, and robustness. This system provides a reusable technical path for the power industry to build an enterprise-level "digital standard library". Reference | Related Articles | Metrics

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Research on Detection Method of Detection Sensors for 110 kV XLPE Cables YU Ting, DUAN Xiaoli, LiU Sanwei, ZHONG Lipeng, Li Shaobin, WANG Feng Hunan Electric Power    2025, 45 (3): 84-88.   DOI: 10.3969/j.issn.1008-0198.2025.03.012 Abstract （101）      PDF（pc） （4932KB）（9）       Knowledge map    Save Aiming at the poor detection effect of traditional partial discharge (hereinafter referred to as PD) of high-voltage XLPE (cross-linked polyethylene) cables, an innovative built-in partial discharge(PD） signal detection device for high-voltage cables is proposed. By improving the structure of cable terminals and intermediate joints, a flange interface is reserved into the tailpipe area of these components for embedding a PD detection antenna, enabling accurate and effective detection of PD signals while avoiding damage to the cable body. With the detection antenna adopting a double-helix structure, precise collection, transmission, analysis, and processing of PD signals ar achieved. Through simulation and testing, the central frequency of the built-in PD detection antenna for 110 kV XLPE high-voltage cables with lengths ranging from 50 to 500 meters is determined to be 20 MHz. Test results demonstrate that the built-in PD detection sensor can effectively detect PD signals. Reference | Related Articles | Metrics

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Research on Equivalent Measurement Method of UHV AC Lines Corona Loss Based on Corona Cage Device HUO Feng, LiU Siyuan, LiU Qin, YiN Pengbo, Li Yaoqin Hunan Electric Power    2025, 45 (3): 70-75.   DOI: 10.3969/j.issn.1008-0198.2025.03.010 Abstract （110）      PDF（pc） （4775KB）（9）       Knowledge map    Save Research on corona loss in UHV transmission lines holds significant implications for rational control of line losses and enhancement of environmental protection level. In this context, the technical route integrating simulation experiments and theoretical calculations is adopted to study the equivalent measurement method of corona loss of UHV transmission lines based on corona cage test device. Comparative analyses between actual sample measurements and equivalent test results validate the accuracy of corona loss values derived from equivalent methods under both dry and rain-wetting conditions for single conductor and 1 000 kV UHV AC test lines. The findings conclusively demonstrate the validity of corona cage-based equivalent measurement approaches for UHV transmission line corona loss assessment. Reference | Related Articles | Metrics

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Finite Element Analysis of Flexural Stability Bearing Capacity of Cantilever Angle Steel Components in Tunnel Cable Supports WANG Mingming, WANG Yue, ZHANG Zhiyu, ZHAO Xianghu, GU Wenkao, LiU Wanrong, HU Xuefeng Hunan Electric Power    2025, 45 (3): 62-69.   DOI: 10.3969/j.issn.1008-0198.2025.03.009 Abstract （113）      PDF（pc） （8032KB）（7）       Knowledge map    Save The bending characteristics of angle steel bracket arms for tunnel cable supports exhibit considerable complexity, and improper design and selection can pose serious safety risks to the operation of cable lines. Take a 110 kV cable tunnel project in Jining area as a background, a three-dimensional refined model of the cable angle steel bracket is established using the finite element software ABAQUS, which is utilized to investigate the failure modes and load-displacement curves of cantilever angle steel components subjected to concentrated load. Meanwhile, a series of parameter influence analyses are completed, and design recommendations are provided. Reference | Related Articles | Metrics

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Power Quality Disturbance Classification Method Based on Markov Transition Field and Particle Swarm Optimization and Convolutional Neural Networks ZHANG Dachi, YANG Shiwei, FENG Shunqiang, YAO Di, XiN Haokuo, XiAO Bai Hunan Electric Power    2025, 45 (3): 103-111.   DOI: 10.3969/j.issn.1008-0198.2025.03.015 Abstract （111）      PDF（pc） （9763KB）（7）       Knowledge map    Save A power quality disturbance classification method based on markov transition field (MTF), convolutional neural network (CNN), and particle swarm optimization (PSO) algorithms is proposed to address the trend of complex and diverse power quality disturbances (PQDs) in new power systems. Firstly, MTF is used to convert one-dimensional time-series power quality disturbance signals into two-dimensional modal images, which creat favorable conditions for subsequent data feature extraction. Secondly, a power quality disturbance classification model based on image modal data is constructed using CNN, and the parameters in the model are optimized using PSO algorithm to achieve optimal learning rate and avoid the phenomenon of underfitting or overfitting. Finally, the optimized classification model is used to obtain the classification results of power quality disturbances, and its performance is evaluated using evaluation indicators. The simulation results show that the constructed classification model can effectively classify power quality disturbance signals, with higher classification accuracy and noise resistance. Reference | Related Articles | Metrics

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Research and Development of Underwater Inspection and Detection Platform for Hydraulic Structures MO Jian, ZHANG Zhen, ZHANG Jun, ZHANG Hongqiang Hunan Electric Power    2025, 45 (3): 141-146.   DOI: 10.3969/j.issn.1008-0198.2025.03.020 Abstract （101）      PDF（pc） （5637KB）（7）       Knowledge map    Save Aiming at the numerous challenges the current underwater inspection work facing, such as the complexity and variability of the underwater environment, the inefficiency of the traditional inspection methods and the existence of safety hazards, an underwater inspection and detection platform for hydraulic structures is thoroughly studied. This platform consists of a hardware layer, a network layer, a data layer, a service layer and an application layer. Firstly, the hardware layer utilizes advanced underwater robots to collect critical data such as water quality information around the hydraulic structures, as well as underwater images or videos. Secondly, the network layer ensures real-time and stable data transmission, with the data being stored in the data layer. Thirdly, the service layer transmits the data to a software processing system and combines artificial intelligence technologies such as convolutional neural networks to achieve defect detection in hydraulic structures and route planning for underwater robots. Finally, the application layer provides interfaces for computer browsers and WeChat service accounts, allowing users to view the inspection and detection results visually. Experimental results show that the platform can accurately monitor water quality information around hydraulic structures, provide clear underwater images and video materials, and obtain high-precision defect detection results for hydraulic structures. Reference | Related Articles | Metrics